Training that presents basic elements to enable developpers to understand when and how to optimize the performance of their codes.
This training will present basic elements to enable developpers to understand when and how to optimize the performance of their codes.
Optimization :
- Compiler options
- Vectorization – Data access (cache usage maximization)
- Theory to upper-bound the expected performance benefit (speedup, efficiency, peak, memory bandwidth, …)
- Examples of Stencil codes and N-body simulations
Half of the course will be made of hands-on sessions. The hands-on will use the https://github.com/aff3ct/MIPP library
Trainers
- Bertrand Cirou
- Mathieu Cloirec
- Cédric Jourdain
- Umesh Seth
- Dorian Midou
- Naima Alaoui
Learning outcomes
Ability to understand the main issues for code optimization, knowledge of the main tools and techniques for basic debugging.
Prerequisites
ID Card, ZRR access, Basic knowledge of Unix, programming experience in C++, OpenMP
Prochains évènements
Retour à l'agenda10 mai12 mai 2021
Uncertainty quantification @MdlS
Uncertainty in computer simulations, deterministic and probabilistic methods for quantifying uncertainty, OpenTurns software, Uranie software